Title :
Research of web pages and users clustering arithmetic based on fuzzy multisets
Author_Institution :
Dept. of Comput. Software, Beijing City Univ., Beijing, China
Abstract :
HCFM clustering algorithm and FCFM clustering algorithm are put forward in this paper for the web pages and users clustering arithmetic. With this algorithm, the conception of fuzzy multi-set is introduced to utilize multiple properties to depict Web users and page object, to cluster by the establishment of fuzzy multiple similar matrixes, to express the object for clustering as the form of fuzzy multi-set, and thus to construct clustering model.
Keywords :
Web sites; fuzzy set theory; matrix algebra; FCFM clustering algorithm; HCFM clustering algorithm; Web page; Web users; clustering model; fuzzy multiple similar matrices; fuzzy multiset; page object; user clustering arithmetic; Clustering algorithms; Clustering methods; Digital arithmetic; Fuzzy set theory; Fuzzy sets; Software algorithms; Statistics; Symmetric matrices; Time measurement; Web pages; fuzzy multi similar matrix; fuzzy sets; web log mining;
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5486370
